View Invariant Action Recognition Based on Artificial Neural Networks
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Description
Here we provide the novel method in the human action recognized system. In this paper we identify human action by the use of ANFIS (artificial neuro fuzzy inference system). In this project first we convert the video as the frames. In pre-processing we separate the foreground and background from the images. Here we identify the person in the each frame. Then the identified person is separated from the frames. Then the blob detection function is applied. Here the person action is tracked. The person action is plotted in the red triangle. Then we extract the feature of the video. For extracting the feature spatio temporal algorithm is used. After extracting the feature we recognize the action by the use of adaptive neuro fuzzy inference system. The classifier will classify the feature and finally it predicts about the result.